FairGrad: Fairness Aware Gradient Descent. (arXiv:2206.10923v1 [cs.LG])

Web: http://arxiv.org/abs/2206.10923

We tackle the problem of group fairness in classification, where the
objective is to learn models that do not unjustly discriminate against
subgroups of the population. Most existing approaches are limited to simple
binary tasks or involve difficult to implement training mechanisms. This
reduces their practical applicability. In this paper, we propose FairGrad, a
method to enforce fairness based on a reweighting scheme that iteratively
learns group specific weights based on whether they are advantaged or not.
FairGrad is easy …

arxiv fairness gradient lg